An Introduction to Multivariate Statistical Analysis

Theodore W. Anderson (Stanford University, CA)

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English

Wiley-Interscience
11 July 2003

Calculus & mathematical analysis; Probability & statistics

Series: Wiley Series in Probability and Statistics

Perfected over three editions and more than forty years, this field- and classroom-tested reference:
* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariate statistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MV statistics available.

By: Theodore W. Anderson (Stanford University CA)
Imprint: Wiley-Interscience
Country of Publication: United States
Edition: 3rd edition
Dimensions: Height: 244mm, Width: 163mm, Spine: 38mm
Weight: 1.188kg
ISBN: 9780471360919
ISBN 10: 0471360910
Series: Wiley Series in Probability and Statistics
Pages: 752
Publication Date: 11 July 2003
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

THEODORE W. ANDERSON, Professor Emeritus of Statistics and Economics at Stanford University, earned his PhD in mathematics at Princeton University. He is the author of The Statistical Analysis of Time Series, published by Wiley, as well as The New Statistical Analysis of Data and A Bibliography of Multivariate Statistical Analysis. Anderson is a member of the National Academy of Sciences and a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, the Econometric Society, and the American Academy of Arts and Sciences.

Reviews for An Introduction to Multivariate Statistical Analysis

?suitable for a graduate-level course on multivariate analysis?an important reference on the bookshelves of many scientific researchers and most practicing statisticians. (Journal of the American Statistical Association, September 2004) ??really well written. The edition will be certainly welcomed?? (Zentralblatt Math, Vo.1039, No.08, 2004) ?a wonderful textbook?that covers the mathematical theory of multivariate statistical analysis? (Clinical Chemistry, Vol. 50, No. 2, May 2004) ...remains an authoritative work that can still be highly recommended... (Short Book Reviews, 2004) ...still a very serious and comprehensive book on the statistical theory of multivariate analysis. (Technometrics, Vol. 46, No. 1, February 2004) ?...remains a mathematically rigorous development of statistical methods for observations consisting of several measurements or characteristics of each subject and a study of their properties.? (Quarterly of Applied Mathematics, Vol. LXI, No. 4, December 2003)